Science at the heart of medicine

CLRM 5860 Multivariable Regression

COURSE DESCRIPTION: Multivariable Regression builds on the knowledge of univariate and bivariate analyses that were learned in the Clinical Research Intensive course and introduces concepts related to multivariable model building for multiple linear regression, logistic regression and survival analysis. Both the lecture and the lab will focus on multiple regression model building, interpretation and diagnostic tests, assessing for interaction, and statistical adjustment for confounding.

COURSE OBJECTIVES:  

  • To learn the basics and applications of multivariable regression in assessing associations between exposure/explanatory variables and various forms of outcome variables.
  • To use Stata software to conduct multivariable regression and be able to interpret results from the application of these modeling techniques.

REQUIRED MATERIALS:  

  • Regression Methods in Biostatistics. Vittinghoff et al: ISBN-13: 9781461413523; ISBN-10: 1461413524.
    • NOTE: this textbook is available online via the Einstein library as a pdf
     
  • Primer of Applied Regression and Analysis of Variance. Glantz & Slinker. ISBN-13: 9780071360869; ISBN-10: 0071360867.
    • NOTE: available for loan via the CRTP Library—please see Nancy Marte in Block 506
     
  • Applied Logistic Regression by David W. Hosmer, Stanley Lemeshow & Rodney X. Sturdivant (3rd edition). ISBN-13: 9781118548356; ISBN-10: 1118548353.
    • NOTE: this textbook is available online via the Einstein library as a pdf
     
  • Survival Analysis: A Self-learning Text by David Kleinbaum and Mitchel Klein (3rd edition). ISBN-13: 9781493950188; ISBN-10: 1493950185.
    • NOTE: this textbook is available online via the Einstein library as a pdf
     

PREREQUISITES: Clinical Research Intensive; Students are expected to know the material covered in Clinical Research Intensive, including univariate and bivariate statistical analyses and basic epidemiological study designs.

SUITABLE FOR 1ST YEAR STUDENTS: No

STUDENT ASSESSMENTS: Class Participation 10%, Homework 30%, In-class quizzes 15%, Take home exams 45%

(CLOSED REGISTRATION) LIMITED TO 20 STUDENTS NEED APPROVAL FROM PROGRAM DIRECTOR-DR. AILEEN MCGINN (PICK UP COURSE REGISTRATION FORM IN THE GRADUATE OFFICE)

CREDIT HOURS: 5.5